"""
Semantic Memory Engine for Toxo.

Implements semantic knowledge storage and retrieval with graph-based relationships.
"""

import asyncio
import json
import numpy as np
from typing import Dict, Any, List, Optional, Set
from dataclasses import dataclass
from datetime import datetime

from ..utils.logger import get_logger


@dataclass
class SemanticNode:
    """A semantic knowledge node."""
    id: str
    concept: str
    embedding: Optional[np.ndarray] = None
    attributes: Dict[str, Any] = None
    
    def __post_init__(self):
        if self.attributes is None:
            self.attributes = {}


class SemanticMemoryEngine:
    """Semantic memory engine for concept storage and reasoning."""
    
    def __init__(self):
        self.logger = get_logger("toxo.memory.semantic")
        self.nodes: Dict[str, SemanticNode] = {}
        self.relationships: Dict[str, Set[str]] = {}
        self.logger.info("Semantic memory engine initialized")
    
    async def store(self, data: Dict[str, Any]) -> str:
        """Store semantic knowledge."""
        concept = data.get("concept", "unknown")
        node_id = f"semantic_{len(self.nodes)}_{datetime.now().timestamp()}"
        
        node = SemanticNode(
            id=node_id,
            concept=concept,
            attributes=data.get("attributes", {})
        )
        
        self.nodes[node_id] = node
        self.logger.debug(f"Stored semantic node: {node_id}")
        return node_id
    
    async def retrieve(self, query: str) -> List[Dict[str, Any]]:
        """Retrieve semantic knowledge."""
        results = []
        for node in self.nodes.values():
            if query.lower() in node.concept.lower():
                results.append({
                    "id": node.id,
                    "concept": node.concept,
                    "attributes": node.attributes
                })
        return results
    
    async def search(self, query: str) -> List[Dict[str, Any]]:
        """Search semantic knowledge."""
        return await self.retrieve(query)
    
    async def analyze(self) -> Dict[str, Any]:
        """Analyze semantic memory."""
        return {
            "total_nodes": len(self.nodes),
            "total_relationships": len(self.relationships),
            "concepts": [node.concept for node in self.nodes.values()]
        }
    
    async def optimize(self) -> Dict[str, Any]:
        """Optimize semantic memory."""
        self.logger.info("Optimizing semantic memory")
        return {"status": "optimized", "nodes_count": len(self.nodes)}
    
    async def consolidate(self) -> Dict[str, Any]:
        """Consolidate semantic memory."""
        self.logger.info("Consolidating semantic memory")
        return {"status": "consolidated", "nodes_count": len(self.nodes)}
    
    def get_stats(self) -> Dict[str, Any]:
        """Get memory statistics."""
        return {
            "type": "semantic",
            "nodes": len(self.nodes),
            "relationships": len(self.relationships)
        } 